Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Gemini 1.0 Pro

Google

Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, it represents Google's latest advancement in AI technology.

Gemma 3 1B

Google

Gemma 3 1B is a language model developed by Google. The model shows competitive results across 18 benchmarks. It excels particularly in IFEval (80.2%), GSM8k (62.8%), Natural2Code (56.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.

Gemini 1.0 Pro

Google

2024-02-15

Gemma 3 1B

Google

2025-03-12

1 year newer

Performance Metrics

Context window and performance specifications

Gemini 1.0 Pro

Larger context

Max Context:41.0K

Gemma 3 1B

Max Context:-

Parameters:1.0B

Average performance across 2 common benchmarks

Gemini 1.0 Pro

Average Score:30.3%

Gemma 3 1B

+3.3%

Average Score:33.6%

Performance comparison across key benchmark categories

Gemini 1.0 Pro

general

+33.6%

51.4%

math

39.6%

Gemma 3 1B

general

17.8%

math

+2.6%

42.2%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

Gemini 1.0 Pro

2024-02-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Gemini 1.0 Pro

1 providers

Google

Throughput: 120 tok/s

Latency: 0.4ms

Gemma 3 1B

0 providers

Gemini 1.0 Pro

Avg Score:30.3%

Providers:1

Gemma 3 1B

+3.3%

Avg Score:33.6%

Providers:0